Senior Solutions Engineer

Snyk Snyk · Enterprise · United Kingdom · Remote

Senior Solutions Engineer for Snyk's AI-native Developer Security Platform (Evo), focusing on securing AI-generated code, agents, and models for enterprise clients. The role involves owning the technical strategy for complex AI-era opportunities, leading technical evaluations, quantifying ROI, and influencing product roadmaps.

What you'd actually do

  1. Lead the Evo & Securing AI narrative: Own the technical story for Snyk Evo, translating AI-native development risk (vulnerable AI-generated code, unsafe agentic workflows, unvetted MCP servers and LLM integrations) into a case that resonates with both engineering and security leadership.
  2. Architect Technical Strategy: Partner with Account Directors to co-lead the sales strategy for high-stakes enterprise opportunities, owning the technical narrative from initial discovery to final validation.
  3. Engineer Business Value: Construct Value Realization Frameworks by partnering with executive stakeholders to define "North Star" security goals and mapping Snyk's capabilities, including Evo, to specific, measurable business outcomes.
  4. Quantify Economic Impact: Build sophisticated ROI and TCO models that translate technical feasibility, including the cost of unmanaged AI-generated risk, into compelling financial justifications for C-suite decision-makers.
  5. Run Hands-On Technical Evaluations: Scope and lead proofs of concept and pilots covering agentic AI, MCP servers, LLM-assisted coding, and traditional AppSec surfaces, demonstrating Snyk and Evo working across a customer's real development and AI environment.

Skills

Required

  • 5+ years of Solutions Engineering experience on £500K+ opportunities
  • Hands-on exposure to AI/LLM systems in a technical capacity
  • Genuine point of view on how AI-assisted coding changes the security landscape
  • Exceptional communication skills
  • Deep technical understanding of the software development lifecycle, cloud-native architectures, and modern DevOps ecosystems
  • Ability to synthesize technical data into clear ROI narratives

Nice to have

  • Hands-on production experience building, securing, or deploying agentic AI systems, LLM applications, or MCP-based tooling
  • Experience selling or consulting into Financial Services, Insurance, or other regulated enterprise sectors
  • Contribute to open-source projects or are an active voice in the developer/security/AI community
  • Familiarity with the MEDDPICC framework

What the JD emphasized

  • securing AI
  • agentic workflows
  • agentic AI
  • AI-assisted coding

Other signals

  • securing AI-generated code
  • unsafe agentic workflows
  • LLM integrations
  • agentic AI
  • LLM-assisted coding